Skip to main content

Steven Chase: Internal model mismatch is responsible for the majority of errors in neuroprosthetic control

Movies Preview

texts
Steven Chase: Internal model mismatch is responsible for the majority of errors in neuroprosthetic control


Published February 25, 2015
SHOW MORE


Talk by Steven Chase of Carnegie Mellon University.  Given to the joint seminar for the Redwood Center for Theoretical Neuroscience and the Center for Neural Engineering and Prostheses at UC Berkeley.

Abstract
What enables proficient control of a brain-computer interface (BCI)? In this talk, I will argue that it is our ability to conceptualize a physical model of the device. First, I will present evidence that BCIs that correspond to simple physical systems are more readily controlled than those that do not. Next I will show that subjects compensate for sensory feedback delays during BCI control. This suggests that they may be building internal models – inner conceptualizations of device operation – that can be used to internally track the real-time position of the device. Finally, I will present results from a novel statistical analysis that allows us to extract subjects’ internal models from neural population activity at the resolution of tens of milliseconds. Mismatch between subjects’ internal models and the actual BCI explains roughly 65% of their movement errors, as well as long-standing deficiencies in BCI speed control. The neuroprosthetic control system thus provides a paradigm through which we may probe the brain’s ability to build abstract models of physical systems.



Language English
Collection opensource_media

comment
Reviews

There are no reviews yet. Be the first one to write a review.
SIMILAR ITEMS (based on metadata)
Community Media
texts
eye 134
favorite 0
comment 0
Community Media
texts
eye 111
favorite 0
comment 0
Community Media
by Miroslaw Magola
image
eye 6
favorite 0
comment 0
Community Media
texts
eye 144
favorite 0
comment 0
Community Media
texts
eye 158
favorite 0
comment 0